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O. Akbilgic · SciRah

Researcher profile · Semantic Scholar

O. Akbilgic

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O. Akbilgic — researcher profile on SciRah

h-index: 14
Works: 77
Citations: 888

Most-cited papers

ECG-AI: electrocardiographic artificial intelligence model for prediction of heart failure
O. Akbilgic, Liam R. Butler, I. Karabayir, P. Chang +4 more
2021European Heart Journal - Digital Health101 citations Open access
Semantic Scholar
A robust deep convolutional neural network for the classification of abnormal cardiac rhythm using single lead electrocardiograms of variable length
R. Kamaleswaran, Ruhi Mahajan, O. Akbilgic
2018Physiological Measurement95 citations
Semantic Scholar
A practical framework for appropriate implementation and review of artificial intelligence (FAIR-AI) in healthcare
B. J. Wells, Hieu M. Nguyen, Andrew McWilliams, Matt Pallini +28 more
2025npj Digital Medicine81 citations Open access
Semantic Scholar
Extreme Gradient Boosting for Parkinson’s Disease Diagnosis from Voice Recordings
I. Karabayir, Suguna Pappu, S. Goldman, O. Akbilgic
202078 citations Open access
Semantic Scholar
Sociomarkers and biomarkers: predictive modeling in identifying pediatric asthma patients at risk of hospital revisits
Eun Kyong Shin, Ruhi Mahajan, O. Akbilgic, Arash Shaban-Nejad
2018npj Digital Medicine60 citations Open access
Semantic Scholar
Fungi form interkingdom microbial communities in the primordial human gut that develop with gestational age
Kent A. Willis, John H. Purvis, Erin D. Myers, Michael M. Aziz +6 more
2019bioRxiv57 citations Open access
Semantic Scholar
A Novel Learning Algorithm to Optimize Deep Neural Networks: Evolved Gradient Direction Optimizer (EVGO)
I. Karabayir, O. Akbilgic, Nihat Taş
2020IEEE Transactions on Neural Networks and Learning Systems48 citations Open access
Semantic Scholar
Artificial intelligence opportunities in cardio-oncology: Overview with spotlight on electrocardiography
D. Martínez, P. Noseworthy, O. Akbilgic, J. Herrmann +8 more
2022American Heart Journal Plus: Cardiology Research and Practice41 citations Open access
Semantic Scholar
PhysOnline: An Open Source Machine Learning Pipeline for Real-Time Analysis of Streaming Physiological Waveform
J. Sutton, Ruhi Mahajan, O. Akbilgic, R. Kamaleswaran
2019IEEE journal of biomedical and health informatics41 citations
Semantic Scholar
Application of machine learning to the prediction of postoperative sepsis after appendectomy
C. Bunn, Sujay Kulshrestha, Jason Boyda, N. Balasubramanian +6 more
2020Surgery34 citations Open access
Semantic Scholar
A generalizable electrocardiogram-based artificial intelligence model for 10-year heart failure risk prediction
L. Butler, I. Karabayir, D. Kitzman, A. Alonso +6 more
2023Cardiovascular Digital Health Journal31 citations Open access
Semantic Scholar
Vancomycin-Associated Acute Kidney Injury in a Large Veteran Population
G. Gyamlani, P. Potukuchi, F. Thomas, O. Akbilgic +7 more
2019American Journal of Nephrology26 citations Open access
Semantic Scholar
Artificial Intelligence-Assisted Prediction of Late-Onset Cardiomyopathy Among Childhood Cancer Survivors.
Fatma Gunturkun, O. Akbilgic, R. Davis, G. Armstrong +10 more
2020JCO Clinical Cancer Informatics24 citations Open access
Semantic Scholar
Externally validated deep learning model to identify prodromal Parkinson’s disease from electrocardiogram
I. Karabayir, Fatma Gunturkun, Liam R. Butler, S. Goldman +11 more
2023Scientific Reports14 citations Open access
Semantic Scholar
Development and Validation of an Electrocardiographic Artificial Intelligence Model for Detection of Peripartum Cardiomyopathy.
I. Karabayir, G. Wilkie, T. Celik, L. Butler +5 more
2024American Journal of Obstetrics & Gynecology MFM13 citations
Semantic Scholar
ARTIFICIAL INTELLIGENCE APPLIED TO ECG IMPROVES HEART FAILURE PREDICTION ACCURACY
O. Akbilgic, Liam R. Butler, I. Karabayir, P. Chang +4 more
202113 citations Open access
Semantic Scholar
Breaking Digital Health Barriers Through a Large Language Model–Based Tool for Automated Observational Medical Outcomes Partnership Mapping: Development and Validation Study
Meredith C. B. Adams, Matthew L Perkins, Cody L Hudson, V. Madhira +4 more
2024Journal of Medical Internet Research12 citations Open access
Semantic Scholar
Feasibility of remote monitoring for fatal coronary heart disease using Apple Watch ECGs
L. Butler, A. Ivanov, T. Celik, I. Karabayir +12 more
2024Cardiovascular Digital Health Journal11 citations Open access
Semantic Scholar
Image and structured data analysis for prognostication of health outcomes in patients presenting to the ED during the COVID-19 pandemic
Liam R. Butler, I. Karabayir, Mohammad Samie Tootooni, M. Afshar +2 more
2021Int. J. Medical Informatics11 citations Open access
Semantic Scholar
The fungal microbiota modulate neonatal oxygen-induced lung injury
Isaac Martin, M. Silverberg, A. Abdelgawad, Kosuke Tanaka +19 more
2025Microbiome10 citations Open access
Semantic Scholar
ECG-AIR: AN AI PLATFORM FOR REMOTE SMARTWATCH ECG-BASED CARDIOVASCULAR DISEASE DETECTION AND PREDICTION
C. McCraw, I. Karabayir, O. Akbilgic
2022Cardiovascular Digital Health Journal10 citations Open access
Semantic Scholar
Deep learning for improved prediction of late-onset cardiomyopathy among childhood cancer survivors: A report from the St. Jude Lifetime Cohort (SJLIFE).
Fatma Gunturkun, R. Davis, G. Armstrong, J. Jefferies +10 more
20208 citations
Semantic Scholar
Generalizability of electrocardiographic artificial intelligence
I. Karabayir, O. Akbilgic
2025npj Cardiovascular Health7 citations Open access
Semantic Scholar
Network Analysis of Postoperative Surgical Complications in a Cohort of Children Reported to the National Surgical Quality Improvement Program
Ahmad N. Alzubaidi, I. Karabayir, O. Akbilgic, M. Langham
2020Annals of Surgery7 citations
Semantic Scholar
The fungal intestinal microbiota predict the development of bronchopulmonary dysplasia in very low birthweight newborns
Kent A. Willis, M. Silverberg, I. Martin, A. Abdelgawad +16 more
2023medRxiv6 citations Open access
Semantic Scholar
The role of frailty index in predicting readmission risk following total joint replacement using light gradient boosting machines
J. Slezak, Liam R. Butler, O. Akbilgic
2021Informatics in Medicine Unlocked6 citations Open access
Semantic Scholar
Comparative analysis between convolutional neural network learned and engineered features: A case study on cardiac arrhythmia detection
Ruhi Mahajan, R. Kamaleswaran, O. Akbilgic
2020Cardiovascular Digital Health Journal5 citations Open access
Semantic Scholar
Gradient boosting for Parkinson’s disease diagnosis from voice recordings
I. Karabayir, Samuel M. Goldman, Suguna Pappu, O. Akbilgic
2020BMC Medical Informatics and Decision Making5 citations Open access
Semantic Scholar
Trends in cardiology and oncology artificial intelligence publications
G. Suero-Abreu, Abdulaziz Hamid, O. Akbilgic, Sherry-Ann Brown
2022American Heart Journal Plus: Cardiology Research and Practice4 citations Open access
Semantic Scholar
Using machine learning to predict rapid decline of kidney function in sickle cell anemia
Fatma Gunturkun, Daiqing Chen, O. Akbilgic, Robert L. Davis +5 more
2021eJHaem4 citations Open access
Semantic Scholar
SINGLE LEAD WEARABLE ECG SIMULATION AUGMENTED WITH AI FOR HEART FAILURE IDENTIFICATION
I. Karabayir, Robert Davis, L. Chinthala, L. Butler +3 more
2024Journal of the American College of Cardiology3 citations Open access
Semantic Scholar
Principles of Artificial Intellgence for Medicine
O. Akbilgic
2024Journal of the American Heart Association : Cardiovascular and Cerebrovascular Disease3 citations Open access
Semantic Scholar
Comparing the Performances of a 54-Year-Old Computer-Based Consultation to ChatGPT-4o
E. B. Verdi, O. Akbilgic
2024Applied Clinical Informatics3 citations
Semantic Scholar
FEASIBILITY OF REMOTE MONITORING FOR FATAL CORONARY HEART DISEASE FROM SINGLE LEAD ECG
L. Butler, T. Celik, I. Karabayir, L. Chinthala +4 more
2023Cardiovascular Digital Health Journal3 citations Open access
Semantic Scholar
Time-Dependent ECG-AI Prediction of Fatal Coronary Heart Disease: A Retrospective Study
L. Butler, A. Ivanov, T. Celik, I. Karabayir +9 more
2024Journal of Cardiovascular Development and Disease2 citations
Semantic Scholar
Abstract 4143513: ECG-AI to Assist with the Classification of Low Ejection Fraction and Heart Failure with Preserved Ejection Fraction
I. Karabayir, R. Davis, M. S. Tootooni, L. Chinthala +8 more
2024Circulation2 citations
Semantic Scholar
AI-Enabled ECG for Paroxysmal Atrial Fibrillation Detection
M. Kalscheur, O. Akbilgic
2023JACC Clinical Electrophysiology2 citations Open access
Semantic Scholar
Abstract 212: Artificial Intelligence To Predict Late Onset Cardiomyopathy Among Childhood Cancer Survivors Using Electrocardiogram, Echocardiogram, And Clinical Data
Fatma Gunturkun, D. Mulrooney, Robert L. Davis, G. Armstrong +7 more
2022Circulation. Cardiovascular Quality and Outcomes2 citations
Semantic Scholar
MACHINE LEARNING-BASED PREDICTION OF 30-DAY ALL-CAUSE MORTALITY IN PATIENTS HOSPITALIZED WITH ACUTE PULMONARY EMBOLISM
Ahmad S. Manshad, O. Akbilgic, Y. Brailovsky, D. Masic +12 more
2020Chest2 citations Open access
Semantic Scholar
Electrocardiographic sex index: a continuous representation of sex
I. Karabayir, T. Celik, L. Patterson, L. Butler +2 more
2025Biology of Sex Differences1 citations Open access
Semantic Scholar
Five-year cardiomyopathy risk prediction in survivors of childhood cancer using electrocardiogram.
L. Patterson, I. Karabayir, S. Dixon, E. Feijen +10 more
2025Journal of Clinical Oncology1 citations
Semantic Scholar
Diagnostic Accuracy of Machine Learning Algorithms in Electrocardiogram-Based Heart Failure Detection: A Systematic Review and Meta-Analysis.
Mustafa Eray Kılıç, M. Arayıcı, O. Akbilgic, M. B. Yilmaz
2025Canadian Journal of Cardiology1 citations
Semantic Scholar
ID: 4340767 SEX DISCORDANCE ACCORDING TO NOVEL ECG SEX INDEX IS ASSOCIATED WITH ATRIAL FIBRILLATION AND ATRIAL FLUTTER
O. Akbilgic, I. Karabayir, L. Patterson, C. Schaich +3 more
2025Heart Rhythm O21 citations Open access
Semantic Scholar
Assessment of smartwatch-based electrocardiogram (ECG) abnormality detection among childhood cancer survivors.
I. Karabayir, L. Patterson, S. Dixon, D. Mulrooney +5 more
2025Journal of Clinical Oncology1 citations Open access
Semantic Scholar
A REAL WORLD EVIDENCE FOR THE PERFORMANCE OF AN ECG-AI BASED HEART FAILURE RISK PREDICTOR
O. Akbilgic, I. Karabayir, Liam R. Butler, Fatma Gunturkun +6 more
2023Journal of the American College of Cardiology1 citations Open access
Semantic Scholar
Barth Syndrome: Psychosocial Impact and Quality of Life Assessment
A. Bath, O. Akbilgic, David Wilbanks, J. Patel +9 more
2022Journal of Cardiovascular Development and Disease1 citations Open access
Semantic Scholar
ECG-AI: AN EXTERNALLY VALIDATED DEEP LEARNING MODEL TO PREDICT HEART FAILURE RISK
O. Akbilgic, Liam R. Butler, I. Karabayir, D. Kitzman +5 more
2022Journal of the American College of Cardiology1 citations Open access
Semantic Scholar
Evaluating the Harmonization of Native Digital and Digitized ECGs for ECG-AI Research
E. Soliman, H. Bukhari, L. Patterson, S. Moldibi +2 more
2026medRxiv0 citations Open access
Semantic Scholar
ID: 4570995 NO CATH, NO PROBLEM? ELECTROCARDIOGRAPHIC ARTIFICIAL INTELLIGENCE (ECG-AI) FOR NON-INVASIVE CLASSIFICATION OF MEAN PULMONARY CAPILLARY WEDGE PRESSURE
Uttsav Sandesara, T. Hayit, I. Karabayir, Ravi S. Shah +2 more
2026Heart Rhythm O20 citations Open access
Semantic Scholar
Validation of an Electronic Health Record Model for Unplanned Readmission in Patients With Heart Failure.
Kaitlyn Withers, Z. Wright, D. Herrington, Joseph Rigdon +5 more
2026JACC Case Reports0 citations Open access
Semantic Scholar

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